Jayhawks | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Yves Létourneau | Morale : 50 | Moyenne d’équipe : 59 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tye Kartye (R) | X | 100.00 | 66 | 48 | 61 | 69 | 64 | 62 | 63 | 66 | 43 | 63 | 63 | 66 | 66 | 50 | 50 | 0 | 50 | 63 | 0 | 21 | 3 | 859,167$ | ||||
2 | Marc McLaughlin (R) | X | 100.00 | 63 | 47 | 67 | 69 | 71 | 67 | 62 | 64 | 56 | 61 | 59 | 61 | 64 | 51 | 50 | 0 | 50 | 62 | 0 | 23 | 3 | 883,750$ | ||||
3 | Aidan McDonough (R) | X | 100.00 | 57 | 40 | 71 | 70 | 78 | 74 | 60 | 65 | 40 | 60 | 61 | 60 | 66 | 51 | 50 | 0 | 50 | 62 | 0 | 22 | 3 | 925,000$ | ||||
4 | Ethen Frank (R) | X | 100.00 | 62 | 40 | 69 | 69 | 62 | 63 | 64 | 65 | 42 | 61 | 64 | 64 | 66 | 52 | 50 | 0 | 50 | 62 | 0 | 24 | 3 | 775,000$ | ||||
5 | Austin Poganski | X | 100.00 | 63 | 45 | 69 | 66 | 64 | 68 | 68 | 62 | 42 | 62 | 54 | 64 | 61 | 55 | 50 | 0 | 50 | 61 | 0 | 26 | 1 | 750,000$ | ||||
6 | Alex Steeves (R) | X | X | 100.00 | 57 | 45 | 68 | 69 | 63 | 63 | 63 | 67 | 44 | 64 | 61 | 54 | 66 | 51 | 50 | 0 | 50 | 61 | 0 | 22 | 3 | 834,167$ | |||
7 | Nolan Patrick | X | X | 100.00 | 59 | 43 | 70 | 64 | 73 | 70 | 65 | 59 | 63 | 56 | 53 | 58 | 58 | 70 | 57 | 0 | 50 | 60 | 0 | 24 | 1 | 600,000$ | |||
8 | Nicholas Abruzzese (R) | X | X | 100.00 | 54 | 40 | 70 | 68 | 55 | 62 | 63 | 64 | 42 | 64 | 59 | 54 | 64 | 51 | 50 | 0 | 50 | 60 | 0 | 23 | 3 | 850,000$ | |||
9 | Kristian Vesalainen | X | X | 100.00 | 74 | 45 | 94 | 73 | 77 | 48 | 64 | 54 | 25 | 48 | 52 | 60 | 24 | 52 | 53 | 0 | 50 | 58 | N | 0 | 23 | 1 | 620,000$ | ||
10 | Jayce Hawryluk | X | X | 100.00 | 59 | 44 | 66 | 62 | 62 | 63 | 62 | 57 | 40 | 54 | 54 | 57 | 58 | 54 | 50 | 0 | 50 | 57 | 0 | 26 | 1 | 600,000$ | |||
11 | Josh Wilkins | X | 100.00 | 74 | 73 | 96 | 62 | 66 | 57 | 54 | 49 | 67 | 41 | 47 | 66 | 45 | 44 | 44 | 0 | 50 | 55 | 0 | 25 | 1 | 925,002$ | ||||
12 | Jake Livingstone (R) | X | 100.00 | 57 | 40 | 71 | 69 | 79 | 78 | 60 | 65 | 40 | 61 | 60 | 63 | 65 | 51 | 50 | 0 | 50 | 64 | 0 | 23 | 3 | 950,000$ | ||||
13 | Matthew Kessel (R) | X | 100.00 | 64 | 50 | 60 | 68 | 67 | 63 | 62 | 62 | 40 | 60 | 54 | 68 | 61 | 51 | 50 | 0 | 50 | 62 | 0 | 22 | 3 | 883,750$ | ||||
14 | Maxence Guenette (R) | X | 100.00 | 57 | 48 | 71 | 70 | 64 | 63 | 63 | 65 | 40 | 63 | 55 | 65 | 63 | 50 | 50 | 0 | 50 | 62 | 0 | 21 | 1 | 600,000$ | ||||
15 | Santtu Kinnunen (R) | X | 100.00 | 55 | 40 | 69 | 69 | 57 | 62 | 63 | 65 | 40 | 62 | 59 | 65 | 64 | 51 | 50 | 0 | 50 | 61 | N | 0 | 23 | 4 | 1,500,000$ | |||
16 | Emil Andrae (R) | X | 100.00 | 58 | 40 | 68 | 68 | 60 | 58 | 57 | 57 | 40 | 54 | 54 | 60 | 59 | 50 | 50 | 0 | 50 | 58 | 0 | 20 | 3 | 903,333$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Arseny Gritsyuk (R) | X | 100.00 | 41 | 37 | 97 | 69 | 62 | 60 | 73 | 53 | 52 | 40 | 52 | 43 | 58 | 54 | 54 | 0 | 50 | 54 | 0 | 21 | 3 | 560,000$ | ||||
2 | Domenick Fensore (R) | X | 100.00 | 39 | 35 | 97 | 66 | 60 | 53 | 70 | 41 | 25 | 44 | 29 | 41 | 33 | 54 | 54 | 0 | 50 | 50 | 0 | 21 | 3 | 700,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 59 | 44 | 74 | 68 | 66 | 63 | 63 | 60 | 43 | 57 | 55 | 59 | 58 | 52 | 51 | 0 | 50 | 60 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dustin Wolf (R) | 100.00 | 74 | 63 | 70 | 54 | 68 | 73 | 75 | 75 | 75 | 71 | 59 | 50 | 50 | 0 | 50 | 64 | 0 | 21 | 1 | 815,833$ | |
2 | Mack Guzda (R) | 100.00 | 66 | 62 | 63 | 69 | 66 | 66 | 69 | 66 | 67 | 66 | 59 | 50 | 50 | 0 | 50 | 61 | 0 | 21 | 3 | 897,500$ | |
Rayé | |||||||||||||||||||||||
1 | Taylor Gauthier (R) | 100.00 | 67 | 59 | 59 | 66 | 64 | 65 | 67 | 66 | 65 | 63 | 59 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 3 | 859,167$ | |
2 | Jacob Ingham (R) | 100.00 | 52 | 50 | 50 | 58 | 52 | 52 | 52 | 51 | 52 | 52 | 51 | 50 | 50 | 0 | 50 | 49 | 0 | 22 | 4 | 1,000,000$ | |
3 | Kirill Ustimenko (R) | 100.00 | 42 | 39 | 48 | 76 | 43 | 42 | 44 | 46 | 42 | 42 | 42 | 44 | 40 | 0 | 50 | 44 | 0 | 23 | 1 | 600,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 60 | 55 | 58 | 65 | 59 | 60 | 61 | 61 | 60 | 59 | 54 | 49 | 48 | 0 | 50 | 55 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Waiver Possible | Contrat | Type | Salaire actuel | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aidan McDonough | Jayhawks (KC ) | LW | 22 | 1999-11-06 | Yes | 190 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 594,643$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Alex Steeves | Jayhawks (KC ) | LW/RW | 22 | 1999-12-10 | Yes | 185 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 834,167$ | 536,250$ | 0$ | 0$ | No | 834,167$ | 834,167$ | Lien | |||||||
Arseny Gritsyuk | Jayhawks (KC ) | LW | 21 | 2001-03-15 | Yes | 179 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 560,000$ | 360,000$ | 0$ | 0$ | No | 560,000$ | 560,000$ | Lien | |||||||
Austin Poganski | Jayhawks (KC ) | RW | 26 | 1996-02-16 | No | 198 Lbs | 6 ft1 | No | No | Yes | No | 1 | Pro & Farm | 750,000$ | 482,143$ | 0$ | 0$ | No | Lien | |||||||||
Domenick Fensore | Jayhawks (KC ) | D | 21 | 2001-09-07 | Yes | 174 Lbs | 5 ft9 | No | No | No | No | 3 | Pro & Farm | 700,000$ | 450,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Lien | |||||||
Dustin Wolf | Jayhawks (KC ) | G | 21 | 2001-04-16 | Yes | 157 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 815,833$ | 524,464$ | 0$ | 0$ | No | Lien | |||||||||
Emil Andrae | Jayhawks (KC ) | D | 20 | 2002-02-23 | Yes | 181 Lbs | 5 ft9 | No | No | No | No | 3 | Pro & Farm | 903,333$ | 580,714$ | 0$ | 0$ | No | 903,333$ | 903,333$ | ||||||||
Ethen Frank | Jayhawks (KC ) | RW | 24 | 1998-02-05 | Yes | 185 Lbs | 5 ft11 | No | No | Yes | No | 3 | Pro & Farm | 775,000$ | 498,214$ | 0$ | 0$ | No | 775,000$ | 775,000$ | ||||||||
Jacob Ingham | Jayhawks (KC ) | G | 22 | 2000-06-10 | Yes | 205 Lbs | 6 ft5 | No | No | No | No | 4 | Pro & Farm | 1,000,000$ | 642,857$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | Lien | ||||||
Jake Livingstone | Jayhawks (KC ) | D | 23 | 1999-04-16 | Yes | 205 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 950,000$ | 610,714$ | 0$ | 0$ | No | 950,000$ | 950,000$ | ||||||||
Jayce Hawryluk | Jayhawks (KC ) | LW/RW | 26 | 1996-01-01 | No | 196 Lbs | 5 ft11 | No | No | Yes | No | 1 | Pro & Farm | 600,000$ | 385,714$ | 0$ | 0$ | No | Lien | |||||||||
Josh Wilkins | Jayhawks (KC ) | C | 25 | 1997-06-11 | No | 181 Lbs | 5 ft11 | No | No | Yes | No | 1 | Pro & Farm | 925,002$ | 594,644$ | 0$ | 0$ | No | Lien | |||||||||
Kirill Ustimenko | Jayhawks (KC ) | G | 23 | 1999-01-29 | Yes | 187 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 600,000$ | 385,714$ | 0$ | 0$ | No | Lien | |||||||||
Kristian Vesalainen (contrat à 1 volet) | Jayhawks (KC ) | LW/RW | 23 | 1999-06-01 | No | 207 Lbs | 6 ft3 | Yes | No | No | No | 1 | Pro & Farm | 620,000$ | 398,571$ | 0$ | 0$ | No | Lien | |||||||||
Mack Guzda | Jayhawks (KC ) | G | 21 | 2001-01-11 | Yes | 209 Lbs | 6 ft5 | No | No | No | No | 3 | Pro & Farm | 897,500$ | 576,964$ | 0$ | 0$ | No | 897,500$ | 897,500$ | ||||||||
Marc McLaughlin | Jayhawks (KC ) | C | 23 | 1999-07-26 | Yes | 205 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 883,750$ | 568,125$ | 0$ | 0$ | No | 883,750$ | 883,750$ | Lien | |||||||
Matthew Kessel | Jayhawks (KC ) | D | 22 | 2000-06-23 | Yes | 205 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 883,750$ | 568,125$ | 0$ | 0$ | No | 883,750$ | 883,750$ | Lien | |||||||
Maxence Guenette | Jayhawks (KC ) | D | 21 | 2001-04-28 | Yes | 181 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 600,000$ | 385,714$ | 0$ | 0$ | No | Lien | |||||||||
Nicholas Abruzzese | Jayhawks (KC ) | C/LW | 23 | 1999-06-04 | Yes | 161 Lbs | 5 ft9 | No | No | No | No | 3 | Pro & Farm | 850,000$ | 546,429$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||
Nolan Patrick | Jayhawks (KC ) | C/RW | 24 | 1998-09-19 | No | 201 Lbs | 6 ft2 | No | No | Yes | No | 1 | Pro & Farm | 600,000$ | 385,714$ | 0$ | 0$ | No | Lien | |||||||||
Santtu Kinnunen (contrat à 1 volet) | Jayhawks (KC ) | D | 23 | 1999-03-25 | Yes | 154 Lbs | 6 ft3 | Yes | No | No | No | 4 | Pro & Farm | 1,500,000$ | 964,286$ | 600,000$ | 385,714$ | No | 1,500,000$ | 1,500,000$ | 1,500,000$ | Lien | ||||||
Taylor Gauthier | Jayhawks (KC ) | G | 21 | 2001-02-15 | Yes | 194 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 859,167$ | 552,322$ | 0$ | 0$ | No | 859,167$ | 859,167$ | ||||||||
Tye Kartye | Jayhawks (KC ) | LW | 21 | 2001-04-30 | Yes | 203 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 859,167$ | 552,322$ | 0$ | 0$ | No | 859,167$ | 859,167$ |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
23 | 22.52 | 189 Lbs | 6 ft1 | 2.39 | 821,377$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 25 | 1 | 2 | 2 | |||
2 | 25 | 1 | 2 | 2 | |||
3 | 25 | 1 | 2 | 2 | |||
4 | 25 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : , #2 : |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 50 | 20 |
Assistance | 0% | 0% |
Assistance PCT | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 1,677,167$ | 1,677,167$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 9 | 0$ | 0$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|